Releases: cnomic-dev/tsp-protocol
v0.1-alpha
TSP v0.1 is not a format — it's a semantic contract. It locks mathematical boundaries for cross-platform compatibility, ensures geometric honesty, and protects creator attribution through cryptographic verification.
Author: cnomic-dev (Architecture & Protocol Design)
Date: April 2026
Repository: github.com/cnomic-dev/tsp-protocol
Philosophy
This protocol is fully open. Any platform, researcher, or developer may implement, extend, or fork it without restriction.
Overview
Current LLM inference pipelines process every request from raw token sequences, reconstructing the full KV cache on each turn regardless of semantic overlap.
TSP v0.1 introduces a lightweight, platform-agnostic standard to transmit and verify semantic intents. By mapping intent into a hyperspherical (S3S^3
S3) coordinate system using ternary logic, TSP enables extremely low-latency semantic matching (O(1)O(1)
O(1) complexity) while ensuring data attribution and honesty.
Core insight: Reduce how often full inference occurs, while guaranteeing the integrity of the semantic data being reused.
TSP v0.1
Ternary Semantic Packet — TSP v0.1
A minimal open protocol for semantic packet transmission & AI-human symbiosis.
TSP v0.1 is not a format — it's a semantic contract. It locks mathematical boundaries for cross-platform compatibility, ensures geometric honesty, and protects creator attribution through cryptographic verification.
Author: cnomic-dev (Architecture & Protocol Design)
Date: April 2026
Repository: github.com/cnomic-dev/tsp-protocol
Philosophy
This protocol is fully open. Any platform, researcher, or developer may implement, extend, or fork it without restriction.
Overview
Current LLM inference pipelines process every request from raw token sequences, reconstructing the full KV cache on each turn regardless of semantic overlap.
TSP v0.1 introduces a lightweight, platform-agnostic standard to transmit and verify semantic intents. By mapping intent into a hyperspherical (S3S^3
S3) coordinate system using ternary logic, TSP enables extremely low-latency semantic matching (O(1)O(1)
O(1) complexity) while ensuring data attribution and honesty.
Core insight: Reduce how often full inference occurs, while guaranteeing the integrity of the semantic data being reused.